Coordinated path following control for a group of car-like vehicles with an application to intelligent transportation system

Itai Arad, Shai Arogeti, Rami Ronen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new control law for the coordinated path following control problem. The paper deals with a group of car-like vehicles, where each vehicle is represented by the bicycle kinematic model. A two layer method is proposed, in which an inner layer is responsible for vehicle convergence to a desired path, and an outer layer is in charge of solving the coordination problem. A chained form model is formulated in the design of the inner control layer. The time derivative of the path parameter is utilized as the control signal of the outer control layer, and it is generated by different modes of operation, such that different modes represent different tasks. The main contribution of this paper stems from the coordination mechanism and its implementations for intelligent transportation system (ITS). The proposed architecture allows each vehicle to carry out a discrete task independently of other vehicle tasks, depending on the current road situation. The control law has been tested using numerical simulations.

Original languageEnglish
Title of host publication2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Pages59-64
Number of pages6
ISBN (Electronic)9781479951994
DOIs
StatePublished - 1 Jan 2014
Event2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 - Singapore, Singapore
Duration: 10 Dec 201412 Dec 2014

Publication series

Name2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014

Conference

Conference2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Country/TerritorySingapore
CitySingapore
Period10/12/1412/12/14

Keywords

  • Chained form model
  • Coordinated path following
  • Intelligent transportation system

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition

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